DOA estimation based on sum–difference coarray with virtual array interpolation concept

EURASIP Journal on Advances in Signal Processing

Weijiang Wang¹  Chengbo Xue¹  Yarong Ding¹  Shiwei Ren¹ 

[1] School of Information and Electronics, Beijing Institute of Technology;

关键词: Sum–difference coarray;    Virtual array interpolation;    Atomic norm;    Gridless Toeplitz matrix reconstruction;   

DOI  :  10.1186/s13634-021-00782-y

来源: DOAJ

【 摘 要 】

Abstract The sum–difference coarray is the union of difference coarray and the sum coarray, which is capable to obtain a higher number of degrees of freedom (DOF) than the difference coarray. However, this method fails to use all information provided by the coprime array because of the existence of holes. In this paper, we introduce the virtual array interpolation into the sum–difference coarray domain. After interpolating the virtual array, we estimate the DOA by reconstructing the covariance matrix to resolve an atomic norm minimization problem in a gridless way. The proposed method is gridless and can effectively utilize the DOF of a larger virtual array. Numerical simulation results verify the effectiveness and the superior performance of the proposed algorithm.

【 授权许可】

Unknown